Ansätze zur lokalen Bayes'schen Fusion von Informationsbeiträgen heterogener Quellen
The solution of various tasks benefits from information fusion or even requires it. The Bayesian fusion methodology is clear, well-founded and fulfills the essential requirements for a meaningful methodology also for fusing the contributions of heterogeneous information sources. In many practically...
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| Hoofdauteur: | |
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| Formaat: | Elektronisch Hoofdstuk |
| Gepubliceerd in: |
Karlsruhe
KIT Scientific Publishing
2021
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| Reeks: | Karlsruher Schriften zur Anthropomatik
45 |
| Onderwerpen: | |
| Online toegang: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| Samenvatting: | The solution of various tasks benefits from information fusion or even requires it. The Bayesian fusion methodology is clear, well-founded and fulfills the essential requirements for a meaningful methodology also for fusing the contributions of heterogeneous information sources. In many practically relevant tasks, Bayesian methods cause high, often unacceptable effort. In the work, novel approaches to cope with Bayesian fusion in such situations are formulated and investigated. |
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| Fysieke beschrijving: | 1 electronic resource (342 p.) |
| ISBN: | KSP/1000125447 9783731510628 |
| Toegang: | Open Access |